- Four scatter plots are shown. Match the scatter plot with the value of the correlation coefficient.
- Identify the type of linear correlation based on the value of r and the p-value.
- Rank the multiple regression models from best to worst based on the
appropriate values. The R
^{2}, adjusted-R^{2}, and number of predictor variables is given. - Correlation and regression - the regression equation is given.
- Complete the table of coefficients
- Give a conclusion about the y-intercept or slope
- Use the regression equation to estimate a value of the response variable.
- The Sum of Squares are given, complete the ANOVA table.
- Find the value of the coefficient of determination, r
^{2}

- Correlation and regression - the summary statistics, correlation
coefficient and p-value are given
- Give a conclusion
- Write the coordinates of the centroid
- Find the slope of the regression equation
- Write the equation of the regression line
- Complete the ANOVA table. This table is completely blank to begin with.
- This problem is like the chapter 9 homework.

- Multiple Regression - the table of coefficients is given.
- Give a conclusion based on the table of coefficient p-values.
- Decide which one variable you would keep or eliminate from the model.
- The Sum of Squares and one of the df is given, complete the ANOVA table.
- Write the null and/or alternative hypothesis for the ANOVA table.
- Find the value of R
^{2}and/or adjusted-R^{2}from the ANOVA table. - Find the variance of the response variable.

- Chi-squared goodness of fit test - the observed frequencies and claimed
proportions are given
- Find the expected frequencies.
- Give the number of degrees of freedom.
- Know the null and alternative hypotheses.
- The test statistic and/or p-value are given; determine if the test statistic lies in the critical region.
- Give the decision and conclusion.

- Complete the ANOVA table. This is a "difficult" level ANOVA table from the ANOVA generator that we looked at in class.
- Test for independence / contingency table - the observed frequencies are
given.
- Know the null and alternative hypotheses.
- Find the expected frequency for one of the cells in the table
- Determine the degrees of freedom
- The test statistic and/or p-value are given; give the decision and conclusion.

- One way analysis of variance - summary information is given
- Write the null and alternative hypothesis.
- Complete the ANOVA table
- Give a conclusion
- Find the pooled estimate of the variance
- Find the variance of the response variable

- Two-way analysis of variance
- Complete the two-way ANOVA table
- Know the three null and alternative hypotheses being tested with the table
- Give conclusions based on results from the table.

- Use the output from Minitab to perform a hypothesis test. This could be from any of the hypothesis tests that we've done this semester: 1 proportion, 2 proportions, 1 mean, 2 independent means, paired means, or correlation. Be able to write the null and alternative hypotheses and pick out the test statistic and p-value and put them into the proper places in one of the "left / right / two" tables. Write the confidence interval using the proper symbols. Finally, properly word the conclusions.

- You will definitely want a calculator.
- You will not need Minitab. The computers will be off during the exam.

# | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | Total |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|

Pts | 8 | 6 | 5 | 19 | 12 | 15 | 13 | 10 | 12 | 16 | 17 | 17 | 150 |